Initialize

using Plots
pgfplotsx()

Plots.PGFPlotsXBackend()

Lines

A simple line plot of the columns.

plot(Plots.fakedata(50, 5), w = 3)

Parametric plots

Plot function pair (x(u), y(u)).

plot(sin, (x->begin
            sin(2x)
        end), 0, 2π, line = 4, leg = false, fill = (0, :orange))

Colors

Access predefined palettes (or build your own with the colorscheme method). Line/marker colors are auto-generated from the plot's palette, unless overridden. Set the z argument to turn on series gradients.

y = rand(100)
plot(0:10:100, rand(11, 4), lab = "lines", w = 3, palette = cgrad(:grays), fill = 0, α = 0.6)
scatter!(y, zcolor = abs.(y .- 0.5), m = (:heat, 0.8, Plots.stroke(1, :green)), ms = 10 * abs.(y .- 0.5) .+ 4, lab = "grad")

Global

Change the guides/background/limits/ticks. Convenience args xaxis and yaxis allow you to pass a tuple or value which will be mapped to the relevant args automatically. The xaxis below will be replaced with xlabel and xlims args automatically during the preprocessing step. You can also use shorthand functions: title!, xaxis!, yaxis!, xlabel!, ylabel!, xlims!, ylims!, xticks!, yticks!

using Statistics
y = rand(20, 3)
plot(y, xaxis = ("XLABEL", (-5, 30), 0:2:20, :flip), background_color = RGB(0.2, 0.2, 0.2), leg = false)
hline!(mean(y, dims = 1) + rand(1, 3), line = (4, :dash, 0.6, [:lightgreen :green :darkgreen]))
vline!([5, 10])
title!("TITLE")
yaxis!("YLABEL", :log10, minorgrid = true)

Arguments

Plot multiple series with different numbers of points. Mix arguments that apply to all series (marker/markersize) with arguments unique to each series (colors). Special arguments line, marker, and fill will automatically figure out what arguments to set (for example, we are setting the linestyle, linewidth, and color arguments with line.) Note that we pass a matrix of colors, and this applies the colors to each series.

ys = Vector[rand(10), rand(20)]
plot(ys, color = [:black :orange], line = (:dot, 4), marker = ([:hex :d], 12, 0.8, Plots.stroke(3, :gray)))

Build plot in pieces

Start with a base plot...

plot(rand(100) / 3, reg = true, fill = (0, :green))

and add to it later.

scatter!(rand(100), markersize = 6, c = :orange)

Histogram2D

histogram2d(randn(10000), randn(10000), nbins = 20)

Line types

linetypes = [:path :steppre :steppost :sticks :scatter]
n = length(linetypes)
x = Vector[sort(rand(20)) for i = 1:n]
y = rand(20, n)
plot(x, y, line = (linetypes, 3), lab = map(string, linetypes), ms = 15)

Line styles

styles = filter((s->begin
                s in Plots.supported_styles()
            end), [:solid, :dash, :dot, :dashdot, :dashdotdot])
styles = reshape(styles, 1, length(styles))
n = length(styles)
y = cumsum(randn(20, n), dims = 1)
plot(y, line = (5, styles), label = map(string, styles), legendtitle = "linestyle")

Marker types

markers = filter((m->begin
                m in Plots.supported_markers()
            end), Plots._shape_keys)
markers = permutedims(markers)
n = length(markers)
x = (range(0, stop = 10, length = n + 2))[2:end - 1]
y = repeat(reshape(reverse(x), 1, :), n, 1)
scatter(x, y, m = markers, markersize = 8, lab = map(string, markers), bg = :linen, xlim = (0, 10), ylim = (0, 10))

Bar

x is the midpoint of the bar. (todo: allow passing of edges instead of midpoints)

bar(randn(99))

Histogram

histogram(randn(1000), bins = :scott, weights = repeat(1:5, outer = 200))

Adding to subplots

Note here the automatic grid layout, as well as the order in which new series are added to the plots.

plot(Plots.fakedata(100, 10), layout = 4, palette = cgrad.([:grays :blues :heat :lightrainbow]), bg_inside = [:orange :pink :darkblue :black])

using Random
Random.seed!(111)
plot!(Plots.fakedata(100, 10))

Open/High/Low/Close

Create an OHLC chart. Pass in a list of (open,high,low,close) tuples as your y argument. This uses recipes to first convert the tuples to OHLC objects, and subsequently create a :path series with the appropriate line segments.

n = 20
hgt = rand(n) .+ 1
bot = randn(n)
openpct = rand(n)
closepct = rand(n)
y = OHLC[(openpct[i] * hgt[i] + bot[i], bot[i] + hgt[i], bot[i], closepct[i] * hgt[i] + bot[i]) for i = 1:n]
ohlc(y)

Annotations

The annotations keyword is used for text annotations in data-coordinates. Pass in a tuple (x, y, text), or a vector of annotations, each of which is a tuple of x, y and text. text may be a simple String, or a PlotText object, which can be built with the method text(string, attrs...). This wraps font and color attributes and allows you to set text styling. text may also be a tuple (string, attrs...) of arguments which are passed to Plots.text.

annotate!(ann) is shorthand for plot!(; annotation=ann).

Series annotations are used for annotating individual data points. They require only the annotation; x/y values are computed. Series annotations require either plain Strings or PlotText objects.

y = rand(10)
plot(y, annotations = (3, y[3], Plots.text("this is #3", :left)), leg = false)
annotate!([(5, y[5], ("this is #5", 16, :red, :center)), (10, y[10], ("this is #10", :right, 20, "courier"))])
scatter!(range(2, stop = 8, length = 6), rand(6), marker = (50, 0.2, :orange), series_annotations = ["series", "annotations", "map", "to", "series", Plots.text("data", :green)])

Custom Markers

A Plots.Shape is a light wrapper around vertices of a polygon. For supported backends, pass arbitrary polygons as the marker shapes. Note: The center is (0,0) and the size is expected to be rougly the area of the unit circle.

verts = [(-1.0, 1.0), (-1.28, 0.6), (-0.2, -1.4), (0.2, -1.4), (1.28, 0.6), (1.0, 1.0), (-1.0, 1.0), (-0.2, -0.6), (0.0, -0.2), (-0.4, 0.6), (1.28, 0.6), (0.2, -1.4), (-0.2, -1.4), (0.6, 0.2), (-0.2, 0.2), (0.0, -0.2), (0.2, 0.2), (-0.2, -0.6)]
x = 0.1:0.2:0.9
y = 0.7 * rand(5) .+ 0.15
plot(x, y, line = (3, :dash, :lightblue), marker = (Shape(verts), 30, RGBA(0, 0, 0, 0.2)), bg = :pink, fg = :darkblue, xlim = (0, 1), ylim = (0, 1), leg = false)

Contours

Any value for fill works here. We first build a filled contour from a function, then an unfilled contour from a matrix.

x = 1:0.5:20
y = 1:0.5:10
f(x, y) = begin
        (3x + y ^ 2) * abs(sin(x) + cos(y))
    end
X = repeat(reshape(x, 1, :), length(y), 1)
Y = repeat(y, 1, length(x))
Z = map(f, X, Y)
p1 = contour(x, y, f, fill = true)
p2 = contour(x, y, Z)
plot(p1, p2)

Pie

x = ["Nerds", "Hackers", "Scientists"]
y = [0.4, 0.35, 0.25]
pie(x, y, title = "The Julia Community", l = 0.5)

3D

n = 100
ts = range(0, stop = 8π, length = n)
x = ts .* map(cos, ts)
y = (0.1ts) .* map(sin, ts)
z = 1:n
plot(x, y, z, zcolor = reverse(z), m = (10, 0.8, :blues, Plots.stroke(0)), leg = false, cbar = true, w = 5)
plot!(zeros(n), zeros(n), 1:n, w = 10)

DataFrames

Plot using DataFrame column symbols.

using StatsPlots
import RDatasets
iris = RDatasets.dataset("datasets", "iris")
@df iris scatter(:SepalLength, :SepalWidth, group = :Species, title = "My awesome plot", xlabel = "Length", ylabel = "Width", marker = (0.5, [:cross :hex :star7], 12), bg = RGB(0.2, 0.2, 0.2))

Groups and Subplots

group = rand(map((i->begin
                    "group $(i)"
                end), 1:4), 100)
plot(rand(100), layout = @layout([a b; c]), group = group, linetype = [:bar :scatter :steppre], linecolor = :match)